title: Enhancement and compression of digital chest radiographs.
abstract: The application of digital technologies to chest radiography holds the promise of routine application of image processing techniques to effect image enhancement. Because of their inherent spatial resolution, however, digital chest images impose severe constraints on data storage devices. Compression of these images will relax such constraints and facilitate image transmission on a digital network. We evaluated an algorithm for enhancing digital chest images that has allowed significant data compression while improving the diagnostic quality of the image. This algorithm is based on the photographic technique of unsharp masking. Image quality was measured with respect to the task of tumor detection and compression ratios as high as 2:1 were achieved. This compression can be supplemented by irreversible methods.
authors.affiliation: Department of Electrical Engineering, University of Miami, Coral Gables, Florida 33101.
authors.forename: M
authors.initials: M
authors.lastname: Cohn
authors.forename: M
authors.initials: M
authors.lastname: Trefler
authors.forename: T Y
authors.initials: TY
authors.lastname: Young
mesh_terms: D000465:Algorithms; D003199:Computer Systems / Q000592:standards*; D005431:Florida; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods* / Q000592:standards; D008175:Lung Neoplasms / Q000000981:diagnostic imaging*; D011856:Radiographic Image Enhancement / Q000379:methods* / Q000592:standards; D013902:Radiography, Thoracic / Q000379:methods* / Q000592:standards; D013679:Technology, Radiologic / Q000592:standards